Triple
T28582292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holy Mother of God (Astvatsatsin) |
E723409
|
entity |
| Predicate | equivalentTitleInGreek |
P167368
|
FINISHED |
| Object | Theotokos |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Theotokos | Statement: [Holy Mother of God (Astvatsatsin), equivalentTitleInGreek, Theotokos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: equivalentTitleInGreek Context triple: [Holy Mother of God (Astvatsatsin), equivalentTitleInGreek, Theotokos]
-
A.
hasTitleInGreek
Indicates that an entity possesses a specific title expressed in the Greek language.
-
B.
hasOfficialNameInGreek
Indicates that an entity has an official or formally recognized name expressed in the Greek language.
-
C.
hasNameInGreek
Indicates that an entity is associated with a specific representation of its name in the Greek language.
-
D.
equivalentTitleInKorean
Indicates that one title has an equivalent or corresponding title expressed in the Korean language.
-
E.
equivalentTitleInSwedish
Indicates that one entity has a title in Swedish that is equivalent in meaning or status to the title of another entity.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f01d7e97708190ae9e77ee66a68abd |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f66a6468ec8190a43ed6cd8c797f42 |
completed | May 2, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 4:15 a.m.